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dc.contributor.authorChang, Meng-Wei
dc.contributor.authorCollins, Christopher
dc.description.abstractWe present a novel approach to text visualization called descriptive non-photorealistic rendering which exploits the inherent spatial and abstract dimensions in text documents to integrate 3D non-photorealistic rendering with information visualization. The visualization encodes text data onto 3D models, emphasizing the relative significance of words in the text and the physical, real-world relationships between those words. Analytic exploration is supported through a collection of interactive widgets and direct multitouch interaction with the 3D models. We applied our method to analyze a collection of vehicle complaint reports from the National Highway Traffic Safety Administration (NHTSA), and through a qualitative study, we demonstrate how our system can support tasks such as comparing the reliability of different models, finding interesting facts, and revealing possible causal relations between car parts.en_US
dc.titleExploring entities in text with descriptive non-photorealistic renderingen_US
dc.publisher.institutionUniversity of Ontario Institute of Technologyen_US

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